Percona

JANUARY 19, 2023

In this blog post, we will review key topics to consider for managing large datasets more efficiently in MySQL. Redundant indexes: It is known that accessing rows by fetching an index is more efficient than through a table scan in most cases. It can help us to save costs on storage and backup times.

Open Source 90

Open Source Storage Database Big Data 90

Percona

AUGUST 27, 2018

assigning to a specific CPU) is a manageable resource, represented by the concept of “virtual CPU” as a term that includes CPU cores, hyperthreads, hardware threads, and so forth. Then we need to see IF implementing the tuning will work or not. It is possible to do more tuning in the case that ETL is too compromised. References.

Tuning 45

Tuning Virtualization Testing Servers 45

Percona

AUGUST 5, 2023

Otherwise, the storage engine does a scatter-gather and queries ALL partitions in a UNION that is not concurrent. Various partition types, like RANGE, LIST, HASH, and KEY, are used for specific needs, from range-based data to custom criteria, to ensure efficient data handling and the optimization of queries.

Strategy 40

Strategy Storage Database Best Practices 40

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs.

Hardware 58

Hardware Latency Serverless Energy 58

SQL Performance

MARCH 17, 2020

Back in 2014, I wrote an article called Performance Tuning the Whole Query Plan. This is very efficient, as confirmed by the elapsed time of 13ms (all of which is CPU time). The structure of a b-tree index makes finding the next highest value very efficient — there is no need to scan through the duplicates. Test Environment.

Servers 86

Servers Tuning Database Efficiency 86

Percona

APRIL 17, 2023

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. systemctl stop tuned $ systemctl disable tuned Dirty ratio The dirty_ratio is the percentage of total system memory that can hold dirty pages.

Best Practices 52

Best Practices Design Tuning Database 52

All Things Distributed

MARCH 7, 2013

Indexed Storage costs : We are lowering the price of indexed storage by 75%. Virginia) Region, the price of data storage will drop from $1 per GB per month to $0.25. DynamoDB runs on a fleet of SSD-backed storage servers that are specifically designed to support DynamoDB. s prices by 70%. For example, in our US East (N.

Ecommerce 139

Ecommerce Storage Scalability Hardware 139

The Morning Paper

MARCH 17, 2020

most recently ‘ Efficient lock-free durable sets ‘). Optane DIMMs have lower latency and higher bandwidth than storage devices connected over PCIe (including Optane SSDs), and present a memory address-based interface as opposed to a block-based NVMe interface. FAST’20. Optane DIMMs are here! Watch this space.

Scalability 59

Scalability Latency Cache Media 59

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well.

Servers 40

Servers Cache Media Hardware 40

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63

Latency Analytics Scalability Engineering 63

Brendan Gregg

SEPTEMBER 5, 2017

I wrote a page on it: [perf]. - **eBPF**: tracing features completed in 2016, this provides efficient programmatic tracing to existing kernel frameworks. Both Xen and KVM have had many performance and security improvements, and workloads can now be tuned to run at almost bare metal speeds (say, a 3% loss or less).

Virtualization 76

Virtualization AWS Engineering Hardware 76

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” Cloud computing? ” scenarios at industrial scale.

Hardware 99

Hardware Storage Big Data Blockchain 99

SQL Server According to Bob

JANUARY 11, 2020

​​ The storage ​​ space that is required ​​ for the sparse file is only that of the actual bytes written to the file and not the ​​ maximum ​​ file ​​ size.

Servers 40

Servers Cache Database Media 40

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52